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Durrant, Gabriele B.; Maslovskaya, Olga; Smith, Peter W.F. – International Journal of Social Research Methodology, 2019
Researchers have become increasingly interested in better understanding the survey data collection process in interviewer-administered surveys. However, tools for analysing paradata capturing information about field processes, also called call record data, are still not yet fully explored. This paper introduces sequence analysis as a simple tool…
Descriptors: Foreign Countries, Data Analysis, Interviews, Surveys
Curley, Brenna; Peterson, Anna – Journal of Statistics and Data Science Education, 2022
In this article, we outline several activities revolving around soccer players who participated in the 2018 FIFA World Cup and 2019 FIFA Women's World Cup. Classroom activities are described from different perspectives, useful for a range of different statistics courses. In a first semester probability theory course, students investigate the…
Descriptors: Team Sports, Competition, Teaching Methods, Data Analysis
Perez-Arribas, Luis Vicente; Leon-González, María Eugenia; Rosales-Conrado, Noelia – Journal of Chemical Education, 2017
With the final objective of using computational and chemometrics tools in the chemistry studies, this paper shows the methodology and interpretation of the Principal Component Analysis (PCA) using pollution data from different cities. This paper describes how students can obtain data on air quality and process such data for additional information…
Descriptors: Science Instruction, Chemistry, Teaching Methods, Computer Assisted Instruction
Lee, Katherine J.; Roberts, Gehan; Doyle, Lex W.; Anderson, Peter J.; Carlin, John B. – International Journal of Social Research Methodology, 2016
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…
Descriptors: Data Analysis, Statistical Inference, Computation, Research Problems
Khattab, Nabil; Fenton, Steve – Globalisation, Societies and Education, 2016
In this paper, we argue that the power structure that lies within the UK elite universities dictates a division of labour through which the inflows of overseas academics into the UK academic labour markets are skewed towards these elite academic institutions where they are employed primarily in research-only posts. These posts, are less valued and…
Descriptors: Higher Education, College Faculty, Foreign Countries, Selective Admission
Brown, S. J.; White, S.; Power, N. – Advances in Physiology Education, 2015
A cluster analysis data classification technique was used on assessment scores from 157 undergraduate nursing students who passed 2 successive compulsory courses in human anatomy and physiology. Student scores in five summative assessment tasks, taken in each of the courses, were used as inputs for a cluster analysis procedure. We aimed to group…
Descriptors: Undergraduate Students, Science Achievement, Physiology, Introductory Courses
Koçdar, Serpil; Karadag, Nejdet; Sahin, Murat Dogan – Turkish Online Journal of Educational Technology - TOJET, 2016
This is a descriptive study which intends to determine whether the difficulty and discrimination indices of the multiple-choice questions show differences according to cognitive levels of the Bloom's Taxonomy, which are used in the exams of the courses in a business administration bachelor's degree program offered through open and distance…
Descriptors: Multiple Choice Tests, Difficulty Level, Distance Education, Open Education
Drummond, Gordon B.; Vowler, Sarah L. – Advances in Physiology Education, 2012
These authors have previously described how to use the "t" test to compare two groups. In this article, they describe the use of a different test, analysis of variance (ANOVA) to compare more than two groups. ANOVA is a test of group differences: do at least two of the means differ from each other? ANOVA assumes (1) normal distribution…
Descriptors: Test Results, Statistical Analysis, Multivariate Analysis, Evaluation Methods
Bergman, Lars R.; Nurmi, Jari-Erik; von Eye, Alexander A. – International Journal of Behavioral Development, 2012
I-states-as-objects-analysis (ISOA) is a person-oriented methodology for studying short-term developmental stability and change in patterns of variable values. ISOA is based on longitudinal data with the same set of variables measured at all measurement occasions. A key concept is the "i-state," defined as a person's pattern of variable…
Descriptors: Classification, Statistical Analysis, Structural Equation Models, Sample Size
Brody, Stuart; Carson, Carron Maryjane – Journal of Adolescence, 2012
It has been unclear whether adolescent deliberate self-harm (DSH) is more associated with substance use or with characterological impairments. Multivariate determination of (N = 114 Scottish adolescents) ever engaging in DSH (Youth Risk Behavior Survey) from alcohol use, other substance use, and immature defense mechanism use (Defense Style…
Descriptors: Risk, Drinking, Defense Mechanisms, Self Destructive Behavior
Brown, Jason D.; St. Arnault, David; Sintzel, Jennifer; George, Natalie – Journal of Family Social Work, 2011
Foster parents licensed in a central Canadian province were contacted by telephone and invited to participate in a survey that included the question "What are the challenges of fostering a child with the same values, beliefs, and traditions as you?" Participants sorted all responses to the question into concepts that were analyzed using…
Descriptors: Caring, Concept Mapping, Multidimensional Scaling, Multivariate Analysis
Pell, Tony; Hargreaves, Linda – Cambridge Journal of Education, 2011
Cluster analysis has been applied to quantitative data in educational research over several decades and has been a feature of the Maurice Galton's research in primary and secondary classrooms. It has offered potentially useful insights for teaching yet its implications for practice are rarely implemented. It has been subject also to negative…
Descriptors: Educational Research, Multivariate Analysis, Teaching Methods, Research Methodology
Browne, William; Goldstein, Harvey – Journal of Educational and Behavioral Statistics, 2010
In this article, we discuss the effect of removing the independence assumptions between the residuals in two-level random effect models. We first consider removing the independence between the Level 2 residuals and instead assume that the vector of all residuals at the cluster level follows a general multivariate normal distribution. We…
Descriptors: Computation, Sampling, Markov Processes, Monte Carlo Methods
Xu, Juan – Association for Institutional Research (NJ1), 2008
Compared to traditional classification methods, developing a peer group using the National Center for Educational Statistics (NCES) Integrated Postsecondary Education Data Systems (IPEDS) data allows institutions to add comparative dimensions, to update the peer group, and to track changes at peer institutions over time. Peer selection and…
Descriptors: Peer Groups, Foreign Countries, Institutional Research, Benchmarking
Anaya, Antonio R.; Boticario, Jesus G. – International Working Group on Educational Data Mining, 2009
Data mining methods are successful in educational environments to discover new knowledge or learner skills or features. Unfortunately, they have not been used in depth with collaboration. We have developed a scalable data mining method, whose objective is to infer information on the collaboration during the collaboration process in a…
Descriptors: Data Analysis, Cooperative Learning, College Students, Adult Students
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